Overview

Brought to you by YData

Dataset statistics

Number of variables	26
Number of observations	2266
Missing cells	11565
Missing cells (%)	19.6%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	1.9 MiB
Average record size in memory	857.0 B

Variable types

Text	2
DateTime	1
Categorical	12
Numeric	11

Alerts

`cant_apercibimientos` has constant value "1.0"	Constant
`cant_suspensiones` has constant value "2.0"	Constant
`Cluster_6` has constant value "3"	Constant
`Estado` is highly overall correlated with `cant_antecedentes`	High correlation
`TipoSocietario` is highly overall correlated with `cant_MontoLimite` and 1 other fields	High correlation
`anio_preinscripcion` is highly overall correlated with `antiguedad` and 2 other fields	High correlation
`antiguedad` is highly overall correlated with `anio_preinscripcion` and 2 other fields	High correlation
`cant_Apoderado` is highly overall correlated with `cant_antecedentes` and 2 other fields	High correlation
`cant_MontoLimite` is highly overall correlated with `TipoSocietario` and 6 other fields	High correlation
`cant_antecedentes` is highly overall correlated with `Estado` and 16 other fields	High correlation
`cant_autenticado` is highly overall correlated with `cant_antecedentes`	High correlation
`cant_noAutenticado` is highly overall correlated with `cant_Apoderado` and 3 other fields	High correlation
`cant_procesos_adjudicado` is highly overall correlated with `cant_antecedentes` and 1 other fields	High correlation
`cant_representante` is highly overall correlated with `cant_MontoLimite`	High correlation
`cant_sinMontoLimite` is highly overall correlated with `cant_Apoderado` and 2 other fields	High correlation
`cant_socios` is highly overall correlated with `cant_MontoLimite` and 1 other fields	High correlation
`dcant_procesos_adjudicado` is highly overall correlated with `cant_antecedentes`	High correlation
`dmonto_total_adjudicado` is highly overall correlated with `cant_MontoLimite` and 1 other fields	High correlation
`dtotal_articulos_provee` is highly overall correlated with `cant_antecedentes` and 1 other fields	High correlation
`monto_total_adjudicado` is highly overall correlated with `cant_MontoLimite` and 2 other fields	High correlation
`periodo_preinscripcion` is highly overall correlated with `anio_preinscripcion` and 2 other fields	High correlation
`provincia` is highly overall correlated with `cant_antecedentes`	High correlation
`total_articulos_provee` is highly overall correlated with `cant_MontoLimite` and 2 other fields	High correlation
`Estado` is highly imbalanced (61.8%)	Imbalance
`cant_socios` has 280 (12.4%) missing values	Missing
`cant_apercibimientos` has 2265 (> 99.9%) missing values	Missing
`cant_suspensiones` has 2265 (> 99.9%) missing values	Missing
`cant_antecedentes` has 2264 (99.9%) missing values	Missing
`cant_Apoderado` has 233 (10.3%) missing values	Missing
`cant_representante` has 725 (32.0%) missing values	Missing
`cant_noAutenticado` has 1222 (53.9%) missing values	Missing
`cant_MontoLimite` has 2261 (99.8%) missing values	Missing
`cant_antecedentes` is uniformly distributed	Uniform
`CUIT` has unique values	Unique
`antiguedad` has 198 (8.7%) zeros	Zeros

Reproduction

Analysis started	2025-06-30 18:09:48.877350
Analysis finished	2025-06-30 18:10:02.376952
Duration	13.5 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

CUIT
Text

Unique

Distinct	2266
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	168.1 KiB

Length

Max length	20
Median length	11
Mean length	10.978376
Min length	8

Characters and Unicode

Total characters	24877
Distinct characters	31
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2266 ?
Unique (%)	100.0%

Sample

1st row	20305924076
2nd row	30710210000
3rd row	33714924619
4th row	33561600959
5th row	30694465591

Value	Count	Frequency (%)
30568246582	1	< 0.1%
30518773743	1	< 0.1%
20305924076	1	< 0.1%
30710210000	1	< 0.1%
33714924619	1	< 0.1%
33561600959	1	< 0.1%
30694465591	1	< 0.1%
30707870571	1	< 0.1%
30708995157	1	< 0.1%
30500106316	1	< 0.1%
Other values (2256)	2256	99.6%

Most occurring characters

Value	Count	Frequency (%)
0	4311	17.3%
3	3733	15.0%
7	2924	11.8%
1	2556	10.3%
6	2146	8.6%
5	1981	8.0%
2	1889	7.6%
9	1880	7.6%
8	1719	6.9%
4	1677	6.7%
Other values (21)	61	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24877	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4311	17.3%
3	3733	15.0%
7	2924	11.8%
1	2556	10.3%
6	2146	8.6%
5	1981	8.0%
2	1889	7.6%
9	1880	7.6%
8	1719	6.9%
4	1677	6.7%
Other values (21)	61	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24877	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4311	17.3%
3	3733	15.0%
7	2924	11.8%
1	2556	10.3%
6	2146	8.6%
5	1981	8.0%
2	1889	7.6%
9	1880	7.6%
8	1719	6.9%
4	1677	6.7%
Other values (21)	61	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24877	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4311	17.3%
3	3733	15.0%
7	2924	11.8%
1	2556	10.3%
6	2146	8.6%
5	1981	8.0%
2	1889	7.6%
9	1880	7.6%
8	1719	6.9%
4	1677	6.7%
Other values (21)	61	0.2%

Nombre
Text

Distinct	2223
Distinct (%)	98.1%
Missing	0
Missing (%)	0.0%
Memory size	198.2 KiB

Length

Max length	121
Median length	70
Mean length	21.074581
Min length	2

Characters and Unicode

Total characters	47755
Distinct characters	91
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2221 ?
Unique (%)	98.0%

Sample

1st row	Suministros EDA
2nd row	TECNARAN SRL
3rd row	SIGNIFY ARGENTINA S.A.
4th row	Rognoni y CIA SA
5th row	ADSUR S.A..

Value	Count	Frequency (%)
s.a	650	8.8%
srl	417	5.6%
sa	305	4.1%
de	266	3.6%
s.r.l	227	3.1%
argentina	143	1.9%
y	140	1.9%
la	56	0.8%
servicios	54	0.7%
sin	43	0.6%
Other values (3162)	5098	68.9%

Most occurring characters

Value	Count	Frequency (%)
	5133	10.7%
A	4095	8.6%
S	3423	7.2%
R	2554	5.3%
E	2484	5.2%
I	2364	5.0%
.	2238	4.7%
O	1989	4.2%
L	1873	3.9%
N	1735	3.6%
Other values (81)	19867	41.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	47755	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5133	10.7%
A	4095	8.6%
S	3423	7.2%
R	2554	5.3%
E	2484	5.2%
I	2364	5.0%
.	2238	4.7%
O	1989	4.2%
L	1873	3.9%
N	1735	3.6%
Other values (81)	19867	41.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	47755	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5133	10.7%
A	4095	8.6%
S	3423	7.2%
R	2554	5.3%
E	2484	5.2%
I	2364	5.0%
.	2238	4.7%
O	1989	4.2%
L	1873	3.9%
N	1735	3.6%
Other values (81)	19867	41.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	47755	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5133	10.7%
A	4095	8.6%
S	3423	7.2%
R	2554	5.3%
E	2484	5.2%
I	2364	5.0%
.	2238	4.7%
O	1989	4.2%
L	1873	3.9%
N	1735	3.6%
Other values (81)	19867	41.6%

FechaPreinscripcion
Date

Distinct	972
Distinct (%)	42.9%
Missing	0
Missing (%)	0.0%
Memory size	35.4 KiB

Minimum	2016-01-08 00:00:00
Maximum	2022-12-09 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Estado
Categorical

High correlation Imbalance

Distinct	9
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	176.6 KiB

Inscripto	1778
Desactualizado doc. vencidos	155
Pre Inscripto	138
Desactualizado mantención	135
Desactualizado Por Clase	31
Other values (4)	29

Length

Max length	28
Median length	9
Mean length	11.786849
Min length	9

Characters and Unicode

Total characters	26709
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Inscripto
2nd row	Inscripto
3rd row	Inscripto
4th row	Inscripto
5th row	Inscripto

Common Values

Value	Count	Frequency (%)
Inscripto	1778	78.5%
Desactualizado doc. vencidos	155	6.8%
Pre Inscripto	138	6.1%
Desactualizado mantención	135	6.0%
Desactualizado Por Clase	31	1.4%
En Evaluacion	17	0.8%
Con Solicitud De Baja	10	0.4%
Inhabilitado	1	< 0.1%
Dar De Baja	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
inscripto	1916	64.7%
desactualizado	321	10.8%
doc	155	5.2%
vencidos	155	5.2%
pre	138	4.7%
mantención	135	4.6%
por	31	1.0%
clase	31	1.0%
en	17	0.6%
evaluacion	17	0.6%
Other values (6)	44	1.5%

Most occurring characters

Value	Count	Frequency (%)
c	2709	10.1%
o	2616	9.8%
i	2566	9.6%
n	2521	9.4%
s	2423	9.1%
t	2383	8.9%
r	2086	7.8%
I	1917	7.2%
p	1916	7.2%
a	1188	4.4%
Other values (19)	4384	16.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26709	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	2709	10.1%
o	2616	9.8%
i	2566	9.6%
n	2521	9.4%
s	2423	9.1%
t	2383	8.9%
r	2086	7.8%
I	1917	7.2%
p	1916	7.2%
a	1188	4.4%
Other values (19)	4384	16.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26709	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	2709	10.1%
o	2616	9.8%
i	2566	9.6%
n	2521	9.4%
s	2423	9.1%
t	2383	8.9%
r	2086	7.8%
I	1917	7.2%
p	1916	7.2%
a	1188	4.4%
Other values (19)	4384	16.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26709	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	2709	10.1%
o	2616	9.8%
i	2566	9.6%
n	2521	9.4%
s	2423	9.1%
t	2383	8.9%
r	2086	7.8%
I	1917	7.2%
p	1916	7.2%
a	1188	4.4%
Other values (19)	4384	16.4%

TipoSocietario
Categorical

High correlation

Distinct	11
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	224.2 KiB

Sociedad Anónima	1054
S.R.L	673
Persona Física	195
Otras Formas Societarias	92
Organismo Publico	84
Other values (6)	168

Length

Max length	29
Median length	26
Mean length	13.260371
Min length	5

Characters and Unicode

Total characters	30048
Distinct characters	39
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Persona Física
2nd row	S.R.L
3rd row	Sociedad Anónima
4th row	Sociedad Anónima
5th row	Sociedad Anónima

Common Values

Value	Count	Frequency (%)
Sociedad Anónima	1054	46.5%
S.R.L	673	29.7%
Persona Física	195	8.6%
Otras Formas Societarias	92	4.1%
Organismo Publico	84	3.7%
PJ Extranjero Sin Sucursal	79	3.5%
Cooperativas	47	2.1%
Sociedades De Hecho	37	1.6%
Unión Transitoria de Empresas	3	0.1%
PF Extranjero No Residente	1	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sociedad	1054	25.7%
anónima	1054	25.7%
s.r.l	673	16.4%
persona	195	4.7%
física	195	4.7%
otras	92	2.2%
formas	92	2.2%
societarias	92	2.2%
organismo	84	2.0%
publico	84	2.0%
Other values (16)	492	12.0%

Most occurring characters

Value	Count	Frequency (%)
a	3250	10.8%
i	2829	9.4%
n	2556	8.5%
d	2187	7.3%
S	2014	6.7%
o	1855	6.2%
	1841	6.1%
e	1628	5.4%
c	1578	5.3%
.	1346	4.5%
Other values (29)	8964	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	30048	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3250	10.8%
i	2829	9.4%
n	2556	8.5%
d	2187	7.3%
S	2014	6.7%
o	1855	6.2%
	1841	6.1%
e	1628	5.4%
c	1578	5.3%
.	1346	4.5%
Other values (29)	8964	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	30048	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3250	10.8%
i	2829	9.4%
n	2556	8.5%
d	2187	7.3%
S	2014	6.7%
o	1855	6.2%
	1841	6.1%
e	1628	5.4%
c	1578	5.3%
.	1346	4.5%
Other values (29)	8964	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	30048	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3250	10.8%
i	2829	9.4%
n	2556	8.5%
d	2187	7.3%
S	2014	6.7%
o	1855	6.2%
	1841	6.1%
e	1628	5.4%
c	1578	5.3%
.	1346	4.5%
Other values (29)	8964	29.8%

periodo_preinscripcion
Real number (ℝ)

High correlation

Distinct	77
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	201781.89

Minimum	201607
Maximum	202211
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	201607
5-th percentile	201610
Q1	201702
median	201709
Q3	201811
95-th percentile	202107
Maximum	202211
Range	604
Interquartile range (IQR)	109

Descriptive statistics

Standard deviation	155.97205
Coefficient of variation (CV)	0.00077297347
Kurtosis	0.35256471
Mean	201781.89
Median Absolute Deviation (MAD)	97
Skewness	1.1029482
Sum	4.5723777 × 10⁸
Variance	24327.281
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
201611	161	7.1%
201701	109	4.8%
201705	106	4.7%
201706	100	4.4%
201704	98	4.3%
201703	94	4.1%
201702	83	3.7%
201612	82	3.6%
201610	78	3.4%
201708	75	3.3%
Other values (67)	1280	56.5%

Value	Count	Frequency (%)
201607	4	0.2%
201608	35	1.5%
201609	45	2.0%
201610	78	3.4%
201611	161	7.1%
201612	82	3.6%
201701	109	4.8%
201702	83	3.7%
201703	94	4.1%
201704	98	4.3%

Value	Count	Frequency (%)
202211	5	0.2%
202210	6	0.3%
202209	6	0.3%
202208	4	0.2%
202207	3	0.1%
202206	6	0.3%
202205	9	0.4%
202204	11	0.5%
202203	7	0.3%
202202	8	0.4%

anio_preinscripcion
Categorical

High correlation

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	152.7 KiB

2017	943
2016	405
2018	370
2020	181
2019	169
Other values (2)	198

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	9064
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2016
2nd row	2016
3rd row	2016
4th row	2016
5th row	2016

Common Values

Value	Count	Frequency (%)
2017	943	41.6%
2016	405	17.9%
2018	370	16.3%
2020	181	8.0%
2019	169	7.5%
2021	131	5.8%
2022	67	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2017	943	41.6%
2016	405	17.9%
2018	370	16.3%
2020	181	8.0%
2019	169	7.5%
2021	131	5.8%
2022	67	3.0%

Most occurring characters

Value	Count	Frequency (%)
2	2712	29.9%
0	2447	27.0%
1	2018	22.3%
7	943	10.4%
6	405	4.5%
8	370	4.1%
9	169	1.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9064	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	2712	29.9%
0	2447	27.0%
1	2018	22.3%
7	943	10.4%
6	405	4.5%
8	370	4.1%
9	169	1.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9064	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	2712	29.9%
0	2447	27.0%
1	2018	22.3%
7	943	10.4%
6	405	4.5%
8	370	4.1%
9	169	1.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9064	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	2712	29.9%
0	2447	27.0%
1	2018	22.3%
7	943	10.4%
6	405	4.5%
8	370	4.1%
9	169	1.9%

cant_procesos_adjudicado
Real number (ℝ)

High correlation

Distinct	95
Distinct (%)	4.2%
Missing	16
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	8.4675556

Minimum	1
Maximum	189
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	3
Q3	8
95-th percentile	37
Maximum	189
Range	188
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	16.992821
Coefficient of variation (CV)	2.0068154
Kurtosis	33.421103
Mean	8.4675556
Median Absolute Deviation (MAD)	2
Skewness	5.0171123
Sum	19052
Variance	288.75595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	726	32.0%
2	333	14.7%
3	231	10.2%
4	148	6.5%
6	93	4.1%
5	91	4.0%
7	61	2.7%
9	47	2.1%
8	45	2.0%
11	43	1.9%
Other values (85)	432	19.1%

Value	Count	Frequency (%)
1	726	32.0%
2	333	14.7%
3	231	10.2%
4	148	6.5%
5	91	4.0%
6	93	4.1%
7	61	2.7%
8	45	2.0%
9	47	2.1%
10	41	1.8%

Value	Count	Frequency (%)
189	1	< 0.1%
178	1	< 0.1%
164	1	< 0.1%
154	1	< 0.1%
153	2	0.1%
150	1	< 0.1%
147	1	< 0.1%
141	1	< 0.1%
136	1	< 0.1%
131	1	< 0.1%

monto_total_adjudicado
Real number (ℝ)

High correlation

Distinct	2231
Distinct (%)	99.2%
Missing	16
Missing (%)	0.7%
Infinite	0
Infinite (%)	0.0%
Mean	74485595

Minimum	0
Maximum	4.7156253 × 10⁹
Zeros	15
Zeros (%)	0.7%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	0
5-th percentile	45344.059
Q1	1147825.6
median	7699800
Q3	38481576
95-th percentile	3.5726319 × 10⁸
Maximum	4.7156253 × 10⁹
Range	4.7156253 × 10⁹
Interquartile range (IQR)	37333751

Descriptive statistics

Standard deviation	2.6464261 × 10⁸
Coefficient of variation (CV)	3.5529367
Kurtosis	125.0544
Mean	74485595
Median Absolute Deviation (MAD)	7467476.5
Skewness	9.5881652
Sum	1.6759259 × 10¹¹
Variance	7.0035708 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	15	0.7%
1419000	5	0.2%
510000	2	0.1%
779521.8419	1	< 0.1%
162919683.1	1	< 0.1%
55590000	1	< 0.1%
6523337.4	1	< 0.1%
1237315257	1	< 0.1%
1354243492	1	< 0.1%
1624050032	1	< 0.1%
Other values (2221)	2221	98.0%
(Missing)	16	0.7%

Value	Count	Frequency (%)
0	15	0.7%
1.7	1	< 0.1%
36.13714286	1	< 0.1%
516.24	1	< 0.1%
805.37	1	< 0.1%
1190	1	< 0.1%
2240	1	< 0.1%
2412.02	1	< 0.1%
2450	1	< 0.1%
2662	1	< 0.1%

Value	Count	Frequency (%)
4715625322	1	< 0.1%
4065619873	1	< 0.1%
3933614343	1	< 0.1%
3921473681	1	< 0.1%
3226132956	1	< 0.1%
2721495852	1	< 0.1%
2413701716	1	< 0.1%
2026657207	1	< 0.1%
1873442435	1	< 0.1%
1624050032	1	< 0.1%

antiguedad
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.2771403

Minimum	0
Maximum	5
Zeros	198
Zeros (%)	8.7%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	4
Q3	4
95-th percentile	5
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.4952398
Coefficient of variation (CV)	0.45626359
Kurtosis	-0.17168088
Mean	3.2771403
Median Absolute Deviation (MAD)	1
Skewness	-0.93038713
Sum	7426
Variance	2.2357421
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	943	41.6%
5	405	17.9%
3	370	16.3%
0	198	8.7%
1	181	8.0%
2	169	7.5%

Value	Count	Frequency (%)
0	198	8.7%
1	181	8.0%
2	169	7.5%
3	370	16.3%
4	943	41.6%
5	405	17.9%

Value	Count	Frequency (%)
5	405	17.9%
4	943	41.6%
3	370	16.3%
2	169	7.5%
1	181	8.0%
0	198	8.7%

provincia
Categorical

High correlation

Distinct	27
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	165.0 KiB

CABA	1108
Buenos Aires	417
Córdoba	133
Santa Fe	100
Extranjera	80
Other values (22)	428

Length

Max length	19
Median length	16
Mean length	6.8909974
Min length	4

Characters and Unicode

Total characters	15615
Distinct characters	40
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	CABA
2nd row	CABA
3rd row	Buenos Aires
4th row	Buenos Aires
5th row	CABA

Common Values

Value	Count	Frequency (%)
CABA	1108	48.9%
Buenos Aires	417	18.4%
Córdoba	133	5.9%
Santa Fe	100	4.4%
Extranjera	80	3.5%
Mendoza	69	3.0%
Tierra del Fuego	39	1.7%
Chubut	32	1.4%
Neuquén	30	1.3%
Entre Rios	26	1.1%
Other values (17)	232	10.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
caba	1108	37.0%
buenos	417	13.9%
aires	417	13.9%
córdoba	133	4.4%
santa	116	3.9%
fe	100	3.3%
extranjera	80	2.7%
mendoza	69	2.3%
del	48	1.6%
tierra	40	1.3%
Other values (26)	470	15.7%

Most occurring characters

Value	Count	Frequency (%)
A	2633	16.9%
B	1525	9.8%
e	1353	8.7%
C	1340	8.6%
s	947	6.1%
r	922	5.9%
n	866	5.5%
a	862	5.5%
o	818	5.2%
	732	4.7%
Other values (30)	3617	23.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15615	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	2633	16.9%
B	1525	9.8%
e	1353	8.7%
C	1340	8.6%
s	947	6.1%
r	922	5.9%
n	866	5.5%
a	862	5.5%
o	818	5.2%
	732	4.7%
Other values (30)	3617	23.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15615	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	2633	16.9%
B	1525	9.8%
e	1353	8.7%
C	1340	8.6%
s	947	6.1%
r	922	5.9%
n	866	5.5%
a	862	5.5%
o	818	5.2%
	732	4.7%
Other values (30)	3617	23.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15615	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	2633	16.9%
B	1525	9.8%
e	1353	8.7%
C	1340	8.6%
s	947	6.1%
r	922	5.9%
n	866	5.5%
a	862	5.5%
o	818	5.2%
	732	4.7%
Other values (30)	3617	23.2%

cant_socios
Real number (ℝ)

High correlation Missing

Distinct	12
Distinct (%)	0.6%
Missing	280
Missing (%)	12.4%
Infinite	0
Infinite (%)	0.0%
Mean	2.2089627

Minimum	1
Maximum	14
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	3
95-th percentile	5
Maximum	14
Range	13
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.2995408
Coefficient of variation (CV)	0.58830363
Kurtosis	6.872677
Mean	2.2089627
Median Absolute Deviation (MAD)	1
Skewness	1.9010343
Sum	4387
Variance	1.6888063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
2	769	33.9%
1	640	28.2%
3	311	13.7%
4	144	6.4%
5	72	3.2%
6	31	1.4%
7	10	0.4%
8	5	0.2%
9	1	< 0.1%
10	1	< 0.1%
Other values (2)	2	0.1%
(Missing)	280	12.4%

Value	Count	Frequency (%)
1	640	28.2%
2	769	33.9%
3	311	13.7%
4	144	6.4%
5	72	3.2%
6	31	1.4%
7	10	0.4%
8	5	0.2%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
14	1	< 0.1%
11	1	< 0.1%
10	1	< 0.1%
9	1	< 0.1%
8	5	0.2%
7	10	0.4%
6	31	1.4%
5	72	3.2%
4	144	6.4%
3	311	13.7%

cant_apercibimientos
Categorical

Constant Missing

Distinct	1
Distinct (%)	100.0%
Missing	2265
Missing (%)	> 99.9%
Memory size	141.6 KiB

1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	1.0

Common Values

Value	Count	Frequency (%)
1.0	1	< 0.1%
(Missing)	2265	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	1	33.3%
.	1	33.3%
0	1	33.3%

cant_suspensiones
Categorical

Constant Missing

Distinct	1
Distinct (%)	100.0%
Missing	2265
Missing (%)	> 99.9%
Memory size	141.6 KiB

2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	3
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	100.0%

Sample

1st row	2.0

Common Values

Value	Count	Frequency (%)
2.0	1	< 0.1%
(Missing)	2265	> 99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	1	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
2	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
2	1	33.3%
.	1	33.3%
0	1	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
2	1	33.3%
.	1	33.3%
0	1	33.3%

cant_antecedentes
Categorical

High correlation Missing Uniform

Distinct	2
Distinct (%)	100.0%
Missing	2264
Missing (%)	99.9%
Memory size	141.6 KiB

1.0	1
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	100.0%

Sample

1st row	1.0
2nd row	2.0

Common Values

Value	Count	Frequency (%)
1.0	1	< 0.1%
2.0	1	< 0.1%
(Missing)	2264	99.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	1	50.0%
2.0	1	50.0%

Most occurring characters

Value	Count	Frequency (%)
.	2	33.3%
0	2	33.3%
1	1	16.7%
2	1	16.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	2	33.3%
0	2	33.3%
1	1	16.7%
2	1	16.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	2	33.3%
0	2	33.3%
1	1	16.7%
2	1	16.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	2	33.3%
0	2	33.3%
1	1	16.7%
2	1	16.7%

cant_Apoderado
Real number (ℝ)

High correlation Missing

Distinct	12
Distinct (%)	0.6%
Missing	233
Missing (%)	10.3%
Infinite	0
Infinite (%)	0.0%
Mean	1.7137236

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	3
Maximum	12
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.0572647
Coefficient of variation (CV)	0.61694004
Kurtosis	19.245414
Mean	1.7137236
Median Absolute Deviation (MAD)	0
Skewness	3.3189313
Sum	3484
Variance	1.1178086
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	1044	46.1%
2	729	32.2%
3	162	7.1%
4	57	2.5%
5	20	0.9%
8	5	0.2%
6	5	0.2%
7	5	0.2%
11	2	0.1%
10	2	0.1%
Other values (2)	2	0.1%
(Missing)	233	10.3%

Value	Count	Frequency (%)
1	1044	46.1%
2	729	32.2%
3	162	7.1%
4	57	2.5%
5	20	0.9%
6	5	0.2%
7	5	0.2%
8	5	0.2%
9	1	< 0.1%
10	2	0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
11	2	0.1%
10	2	0.1%
9	1	< 0.1%
8	5	0.2%
7	5	0.2%
6	5	0.2%
5	20	0.9%
4	57	2.5%
3	162	7.1%

cant_representante
Real number (ℝ)

High correlation Missing

Distinct	6
Distinct (%)	0.4%
Missing	725
Missing (%)	32.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.2712524

Minimum	1
Maximum	10
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	10
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.58143155
Coefficient of variation (CV)	0.45736908
Kurtosis	36.56123
Mean	1.2712524
Median Absolute Deviation (MAD)	0
Skewness	3.9482288
Sum	1959
Variance	0.33806265
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	1191	52.6%
2	300	13.2%
3	39	1.7%
4	9	0.4%
5	1	< 0.1%
10	1	< 0.1%
(Missing)	725	32.0%

Value	Count	Frequency (%)
1	1191	52.6%
2	300	13.2%
3	39	1.7%
4	9	0.4%
5	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
10	1	< 0.1%
5	1	< 0.1%
4	9	0.4%
3	39	1.7%
2	300	13.2%
1	1191	52.6%

cant_autenticado
Real number (ℝ)

High correlation

Distinct	9
Distinct (%)	0.4%
Missing	2
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	1.7742933

Minimum	1
Maximum	11
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	2
Q3	2
95-th percentile	3
Maximum	11
Range	10
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	0.82376969
Coefficient of variation (CV)	0.46428045
Kurtosis	19.383192
Mean	1.7742933
Median Absolute Deviation (MAD)	0
Skewness	2.6606685
Sum	4017
Variance	0.6785965
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
2	1147	50.6%
1	867	38.3%
3	190	8.4%
4	37	1.6%
5	15	0.7%
6	4	0.2%
11	2	0.1%
9	1	< 0.1%
8	1	< 0.1%
(Missing)	2	0.1%

Value	Count	Frequency (%)
1	867	38.3%
2	1147	50.6%
3	190	8.4%
4	37	1.6%
5	15	0.7%
6	4	0.2%
8	1	< 0.1%
9	1	< 0.1%
11	2	0.1%

Value	Count	Frequency (%)
11	2	0.1%
9	1	< 0.1%
8	1	< 0.1%
6	4	0.2%
5	15	0.7%
4	37	1.6%
3	190	8.4%
2	1147	50.6%
1	867	38.3%

cant_noAutenticado
Real number (ℝ)

High correlation Missing

Distinct	11
Distinct (%)	1.1%
Missing	1222
Missing (%)	53.9%
Infinite	0
Infinite (%)	0.0%
Mean	1.3659004

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	12
Range	11
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.95749857
Coefficient of variation (CV)	0.70100175
Kurtosis	32.010006
Mean	1.3659004
Median Absolute Deviation (MAD)	0
Skewness	4.7024076
Sum	1426
Variance	0.9168035
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
1	821	36.2%
2	142	6.3%
3	53	2.3%
6	8	0.4%
5	8	0.4%
4	7	0.3%
10	1	< 0.1%
9	1	< 0.1%
7	1	< 0.1%
8	1	< 0.1%
(Missing)	1222	53.9%

Value	Count	Frequency (%)
1	821	36.2%
2	142	6.3%
3	53	2.3%
4	7	0.3%
5	8	0.4%
6	8	0.4%
7	1	< 0.1%
8	1	< 0.1%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
12	1	< 0.1%
10	1	< 0.1%
9	1	< 0.1%
8	1	< 0.1%
7	1	< 0.1%
6	8	0.4%
5	8	0.4%
4	7	0.3%
3	53	2.3%
2	142	6.3%

cant_sinMontoLimite
Real number (ℝ)

High correlation

Distinct	13
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.3993822

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	2
Q3	2
95-th percentile	4
Maximum	13
Range	12
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.95403387
Coefficient of variation (CV)	0.39761647
Kurtosis	32.495831
Mean	2.3993822
Median Absolute Deviation (MAD)	0
Skewness	4.5925269
Sum	5437
Variance	0.91018063
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	1708	75.4%
3	370	16.3%
4	116	5.1%
5	37	1.6%
6	15	0.7%
7	7	0.3%
8	4	0.2%
12	3	0.1%
11	2	0.1%
9	1	< 0.1%
Other values (3)	3	0.1%

Value	Count	Frequency (%)
1	1	< 0.1%
2	1708	75.4%
3	370	16.3%
4	116	5.1%
5	37	1.6%
6	15	0.7%
7	7	0.3%
8	4	0.2%
9	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
13	1	< 0.1%
12	3	0.1%
11	2	0.1%
10	1	< 0.1%
9	1	< 0.1%
8	4	0.2%
7	7	0.3%
6	15	0.7%
5	37	1.6%
4	116	5.1%

cant_MontoLimite
Categorical

High correlation Missing

Distinct	2
Distinct (%)	40.0%
Missing	2261
Missing (%)	99.8%
Memory size	141.6 KiB

1.0	4
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	15
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	20.0%

Sample

1st row	1.0
2nd row	2.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	4	0.2%
2.0	1	< 0.1%
(Missing)	2261	99.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	4	80.0%
2.0	1	20.0%

Most occurring characters

Value	Count	Frequency (%)
.	5	33.3%
0	5	33.3%
1	4	26.7%
2	1	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	5	33.3%
0	5	33.3%
1	4	26.7%
2	1	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	5	33.3%
0	5	33.3%
1	4	26.7%
2	1	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	5	33.3%
0	5	33.3%
1	4	26.7%
2	1	6.7%

total_articulos_provee
Real number (ℝ)

High correlation

Distinct	240
Distinct (%)	10.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.909091

Minimum	1
Maximum	850
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	35.4 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	2
median	8
Q3	31
95-th percentile	163.75
Maximum	850
Range	849
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	73.974935
Coefficient of variation (CV)	2.1190737
Kurtosis	30.9183
Mean	34.909091
Median Absolute Deviation (MAD)	7
Skewness	4.7236738
Sum	79104
Variance	5472.2911
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	426	18.8%
2	184	8.1%
4	129	5.7%
3	123	5.4%
5	82	3.6%
7	75	3.3%
6	68	3.0%
9	54	2.4%
8	52	2.3%
11	48	2.1%
Other values (230)	1025	45.2%

Value	Count	Frequency (%)
1	426	18.8%
2	184	8.1%
3	123	5.4%
4	129	5.7%
5	82	3.6%
6	68	3.0%
7	75	3.3%
8	52	2.3%
9	54	2.4%
10	38	1.7%

Value	Count	Frequency (%)
850	1	< 0.1%
780	1	< 0.1%
678	1	< 0.1%
677	1	< 0.1%
636	1	< 0.1%
621	1	< 0.1%
620	1	< 0.1%
611	1	< 0.1%
600	1	< 0.1%
581	1	< 0.1%

dmonto_total_adjudicado
Categorical

High correlation

Distinct	21
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	192.4 KiB

(89.439.449- 222.964.579]	171
(222.964.579- 46.172.150.151]	171
(46.718.747- 89.439.449]	156
(30.451.916- 46.718.747]	150
(13.557.176- 19.975.532]	141
Other values (16)	1477

Length

Max length	29
Median length	25
Mean length	21.9391
Min length	3

Characters and Unicode

Total characters	49714
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(89.439.449- 222.964.579]
2nd row	(89.439.449- 222.964.579]
3rd row	(13.557.176- 19.975.532]
4th row	(2.483.085- 3.396.600]
5th row	(30.451.916- 46.718.747]

Common Values

Value	Count	Frequency (%)
(89.439.449- 222.964.579]	171	7.5%
(222.964.579- 46.172.150.151]	171	7.5%
(46.718.747- 89.439.449]	156	6.9%
(30.451.916- 46.718.747]	150	6.6%
(13.557.176- 19.975.532]	141	6.2%
(9.424.898- 13.557.176]	136	6.0%
(6.702.697- 9.424.898]	123	5.4%
(19.975.532- 30.451.916]	122	5.4%
(4.727.330- 6.702.697]	112	4.9%
(3.396.600- 4.727.330]	104	4.6%
Other values (11)	880	38.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
222.964.579	342	7.6%
89.439.449	327	7.2%
46.718.747	306	6.8%
13.557.176	277	6.1%
30.451.916	272	6.0%
19.975.532	263	5.8%
9.424.898	259	5.7%
6.702.697	235	5.2%
4.727.330	216	4.8%
3.396.600	203	4.5%
Other values (12)	1816	40.2%

Most occurring characters

Value	Count	Frequency (%)
.	7992	16.1%
7	4627	9.3%
9	4409	8.9%
4	3624	7.3%
3	3365	6.8%
1	3208	6.5%
2	3047	6.1%
6	2910	5.9%
5	2738	5.5%
0	2592	5.2%
Other values (7)	11202	22.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	49714	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	7992	16.1%
7	4627	9.3%
9	4409	8.9%
4	3624	7.3%
3	3365	6.8%
1	3208	6.5%
2	3047	6.1%
6	2910	5.9%
5	2738	5.5%
0	2592	5.2%
Other values (7)	11202	22.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	49714	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	7992	16.1%
7	4627	9.3%
9	4409	8.9%
4	3624	7.3%
3	3365	6.8%
1	3208	6.5%
2	3047	6.1%
6	2910	5.9%
5	2738	5.5%
0	2592	5.2%
Other values (7)	11202	22.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	49714	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	7992	16.1%
7	4627	9.3%
9	4409	8.9%
4	3624	7.3%
3	3365	6.8%
1	3208	6.5%
2	3047	6.1%
6	2910	5.9%
5	2738	5.5%
0	2592	5.2%
Other values (7)	11202	22.5%

dcant_procesos_adjudicado
Categorical

High correlation

Distinct	10
Distinct (%)	0.4%
Missing	16
Missing (%)	0.7%
Memory size	168.9 KiB

(0.999, 2.0]	1059
(2.0, 3.0]	231
(8.0, 12.0]	161
(3.0, 4.0]	148
(19.0, 39.0]	133
Other values (5)	518

Length

Max length	14
Median length	12
Mean length	11.423556
Min length	10

Characters and Unicode

Total characters	25703
Distinct characters	14
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(39.0, 1214.0]
2nd row	(12.0, 19.0]
3rd row	(0.999, 2.0]
4th row	(3.0, 4.0]
5th row	(5.0, 6.0]

Common Values

Value	Count	Frequency (%)
(0.999, 2.0]	1059	46.7%
(2.0, 3.0]	231	10.2%
(8.0, 12.0]	161	7.1%
(3.0, 4.0]	148	6.5%
(19.0, 39.0]	133	5.9%
(12.0, 19.0]	127	5.6%
(6.0, 8.0]	106	4.7%
(39.0, 1214.0]	101	4.5%
(5.0, 6.0]	93	4.1%
(4.0, 5.0]	91	4.0%
(Missing)	16	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2.0	1290	28.7%
0.999	1059	23.5%
3.0	379	8.4%
12.0	288	6.4%
8.0	267	5.9%
19.0	260	5.8%
4.0	239	5.3%
39.0	234	5.2%
6.0	199	4.4%
5.0	184	4.1%

Most occurring characters

Value	Count	Frequency (%)
0	4500	17.5%
.	4500	17.5%
9	3671	14.3%
(	2250	8.8%
,	2250	8.8%
	2250	8.8%
]	2250	8.8%
2	1679	6.5%
1	750	2.9%
3	613	2.4%
Other values (4)	990	3.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	25703	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	4500	17.5%
.	4500	17.5%
9	3671	14.3%
(	2250	8.8%
,	2250	8.8%
	2250	8.8%
]	2250	8.8%
2	1679	6.5%
1	750	2.9%
3	613	2.4%
Other values (4)	990	3.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	25703	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	4500	17.5%
.	4500	17.5%
9	3671	14.3%
(	2250	8.8%
,	2250	8.8%
	2250	8.8%
]	2250	8.8%
2	1679	6.5%
1	750	2.9%
3	613	2.4%
Other values (4)	990	3.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	25703	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	4500	17.5%
.	4500	17.5%
9	3671	14.3%
(	2250	8.8%
,	2250	8.8%
	2250	8.8%
]	2250	8.8%
2	1679	6.5%
1	750	2.9%
3	613	2.4%
Other values (4)	990	3.9%

dtotal_articulos_provee
Categorical

High correlation

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	169.6 KiB

(0.999, 2.0]	610
(4.0, 6.0]	150
(11.0, 15.0]	142
(8.0, 11.0]	140
(15.0, 21.0]	137
Other values (10)	1087

Length

Max length	15
Median length	12
Mean length	11.63504
Min length	10

Characters and Unicode

Total characters	26365
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	(97.6, 161.0]
2nd row	(0.999, 2.0]
3rd row	(0.999, 2.0]
4th row	(58.0, 97.6]
5th row	(0.999, 2.0]

Common Values

Value	Count	Frequency (%)
(0.999, 2.0]	610	26.9%
(4.0, 6.0]	150	6.6%
(11.0, 15.0]	142	6.3%
(8.0, 11.0]	140	6.2%
(15.0, 21.0]	137	6.0%
(29.0, 40.0]	131	5.8%
(3.0, 4.0]	129	5.7%
(6.0, 8.0]	127	5.6%
(21.0, 29.0]	124	5.5%
(2.0, 3.0]	123	5.4%
Other values (5)	453	20.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2.0	733	16.2%
0.999	610	13.5%
11.0	282	6.2%
4.0	279	6.2%
15.0	279	6.2%
6.0	277	6.1%
8.0	267	5.9%
21.0	261	5.8%
29.0	255	5.6%
3.0	252	5.6%
Other values (6)	1037	22.9%

Most occurring characters

Value	Count	Frequency (%)
.	4532	17.2%
0	4525	17.2%
9	2366	9.0%
(	2266	8.6%
,	2266	8.6%
	2266	8.6%
]	2266	8.6%
1	1524	5.8%
2	1249	4.7%
6	746	2.8%
Other values (5)	2359	8.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26365	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	4532	17.2%
0	4525	17.2%
9	2366	9.0%
(	2266	8.6%
,	2266	8.6%
	2266	8.6%
]	2266	8.6%
1	1524	5.8%
2	1249	4.7%
6	746	2.8%
Other values (5)	2359	8.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26365	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	4532	17.2%
0	4525	17.2%
9	2366	9.0%
(	2266	8.6%
,	2266	8.6%
	2266	8.6%
]	2266	8.6%
1	1524	5.8%
2	1249	4.7%
6	746	2.8%
Other values (5)	2359	8.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26365	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	4532	17.2%
0	4525	17.2%
9	2366	9.0%
(	2266	8.6%
,	2266	8.6%
	2266	8.6%
]	2266	8.6%
1	1524	5.8%
2	1249	4.7%
6	746	2.8%
Other values (5)	2359	8.9%

Cluster_6
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	146.1 KiB

3	2266

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2266
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3
3rd row	3
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
3	2266	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2266	100.0%

Most occurring characters

Value	Count	Frequency (%)
3	2266	100.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2266	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
3	2266	100.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2266	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
3	2266	100.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2266	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
3	2266	100.0%

Interactions

Correlations

	Estado	TipoSocietario	anio_preinscripcion	antiguedad	cant_Apoderado	cant_MontoLimite	cant_antecedentes	cant_autenticado	cant_noAutenticado	cant_procesos_adjudicado	cant_representante	cant_sinMontoLimite	cant_socios	dcant_procesos_adjudicado	dmonto_total_adjudicado	dtotal_articulos_provee	monto_total_adjudicado	periodo_preinscripcion	provincia	total_articulos_provee
Estado	1.000	0.228	0.126	0.137	0.000	0.000	1.000	0.057	0.051	0.000	0.030	0.008	0.000	0.103	0.160	0.069	0.000	0.118	0.207	0.000
TipoSocietario	0.228	1.000	0.140	0.150	0.062	1.000	1.000	0.070	0.034	0.000	0.117	0.073	0.110	0.044	0.181	0.061	0.047	0.130	0.341	0.000
anio_preinscripcion	0.126	0.140	1.000	1.000	0.000	0.000	1.000	0.000	0.045	0.090	0.055	0.015	0.032	0.163	0.114	0.072	0.010	1.000	0.140	0.025
antiguedad	0.137	0.150	1.000	1.000	0.065	0.000	1.000	-0.094	0.115	0.389	-0.001	0.099	0.069	0.180	0.122	0.072	0.233	-0.958	0.138	0.151
cant_Apoderado	0.000	0.062	0.000	0.065	1.000	0.000	1.000	0.246	0.530	0.089	0.043	0.569	0.172	0.072	0.031	0.000	0.091	-0.087	0.000	0.031
cant_MontoLimite	0.000	1.000	0.000	0.000	0.000	1.000	0.000	0.000	0.816	0.000	0.707	0.000	0.577	0.000	0.577	0.000	1.000	0.000	0.000	1.000
cant_antecedentes	1.000	1.000	1.000	1.000	1.000	0.000	1.000	1.000	1.000	1.000	NaN	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000	1.000
cant_autenticado	0.057	0.070	0.000	-0.094	0.246	0.000	1.000	1.000	0.089	-0.028	0.148	0.303	0.027	0.056	0.000	0.000	-0.004	0.108	0.000	-0.024
cant_noAutenticado	0.051	0.034	0.045	0.115	0.530	0.816	1.000	0.089	1.000	0.091	0.293	0.766	0.225	0.035	0.000	0.036	0.125	-0.127	0.000	0.031
cant_procesos_adjudicado	0.000	0.000	0.090	0.389	0.089	0.000	1.000	-0.028	0.091	1.000	-0.029	0.105	0.074	0.460	0.122	0.087	0.583	-0.417	0.000	0.276
cant_representante	0.030	0.117	0.055	-0.001	0.043	0.707	NaN	0.148	0.293	-0.029	1.000	0.238	0.140	0.036	0.000	0.020	-0.028	0.002	0.000	0.002
cant_sinMontoLimite	0.008	0.073	0.015	0.099	0.569	0.000	1.000	0.303	0.766	0.105	0.238	1.000	0.195	0.066	0.033	0.023	0.144	-0.102	0.000	0.023
cant_socios	0.000	0.110	0.032	0.069	0.172	0.577	1.000	0.027	0.225	0.074	0.140	0.195	1.000	0.000	0.031	0.000	0.113	-0.080	0.000	0.028
dcant_procesos_adjudicado	0.103	0.044	0.163	0.180	0.072	0.000	1.000	0.056	0.035	0.460	0.036	0.066	0.000	1.000	0.199	0.103	0.106	0.150	0.055	0.078
dmonto_total_adjudicado	0.160	0.181	0.114	0.122	0.031	0.577	1.000	0.000	0.000	0.122	0.000	0.033	0.031	0.199	1.000	0.019	0.223	0.107	0.128	0.022
dtotal_articulos_provee	0.069	0.061	0.072	0.072	0.000	0.000	1.000	0.000	0.036	0.087	0.020	0.023	0.000	0.103	0.019	1.000	0.027	0.064	0.034	0.605
monto_total_adjudicado	0.000	0.047	0.010	0.233	0.091	1.000	1.000	-0.004	0.125	0.583	-0.028	0.144	0.113	0.106	0.223	0.027	1.000	-0.265	0.000	0.066
periodo_preinscripcion	0.118	0.130	1.000	-0.958	-0.087	0.000	1.000	0.108	-0.127	-0.417	0.002	-0.102	-0.080	0.150	0.107	0.064	-0.265	1.000	0.133	-0.156
provincia	0.207	0.341	0.140	0.138	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.055	0.128	0.034	0.000	0.133	1.000	0.056
total_articulos_provee	0.000	0.000	0.025	0.151	0.031	1.000	1.000	-0.024	0.031	0.276	0.002	0.023	0.028	0.078	0.022	0.605	0.066	-0.156	0.056	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	periodo_preinscripcion	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	dmonto_total_adjudicado	dcant_procesos_adjudicado	dtotal_articulos_provee	Cluster_6
8	20305924076	Suministros EDA	13/10/2016	Inscripto	Persona Física	201610	2016	147.0	9.393091e+07	5.0	CABA	NaN	NaN	NaN	NaN	2.0	NaN	1.0	1.0	2.0	NaN	107.0	(89.439.449- 222.964.579]	(39.0, 1214.0]	(97.6, 161.0]	3
14	30710210000	TECNARAN SRL	06/09/2016	Inscripto	S.R.L	201609	2016	19.0	1.289448e+08	5.0	CABA	1.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	1.0	(89.439.449- 222.964.579]	(12.0, 19.0]	(0.999, 2.0]	3
15	33714924619	SIGNIFY ARGENTINA S.A.	18/10/2016	Inscripto	Sociedad Anónima	201610	2016	1.0	1.943875e+07	5.0	Buenos Aires	4.0	NaN	NaN	NaN	2.0	1.0	1.0	2.0	3.0	NaN	1.0	(13.557.176- 19.975.532]	(0.999, 2.0]	(0.999, 2.0]	3
17	33561600959	Rognoni y CIA SA	21/09/2016	Inscripto	Sociedad Anónima	201609	2016	4.0	2.651773e+06	5.0	Buenos Aires	2.0	NaN	NaN	NaN	NaN	2.0	2.0	NaN	2.0	NaN	71.0	(2.483.085- 3.396.600]	(3.0, 4.0]	(58.0, 97.6]	3
19	30694465591	ADSUR S.A..	22/09/2016	Inscripto	Sociedad Anónima	201609	2016	6.0	4.605003e+07	5.0	CABA	2.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	1.0	(30.451.916- 46.718.747]	(5.0, 6.0]	(0.999, 2.0]	3
26	30707870571	BASESIDE S.R.L.	19/08/2016	Inscripto	S.R.L	201608	2016	20.0	8.117709e+06	5.0	CABA	2.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	6.0	(6.702.697- 9.424.898]	(19.0, 39.0]	(4.0, 6.0]	3
28	30708995157	Netlabs SRL	24/08/2016	Desactualizado doc. vencidos	S.R.L	201608	2016	3.0	3.583917e+06	5.0	CABA	2.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	237.0	(3.396.600- 4.727.330]	(2.0, 3.0]	(161.0, 345.0]	3
34	30500106316	LA LEY SOCIEDAD ANONIMA, EDITORA E IMPRESORA	21/07/2016	Inscripto	Sociedad Anónima	201607	2016	189.0	2.752135e+08	5.0	CABA	3.0	NaN	NaN	NaN	11.0	NaN	1.0	10.0	11.0	NaN	3.0	(222.964.579- 46.172.150.151]	(39.0, 1214.0]	(2.0, 3.0]	3
36	30680075995	MOST S.A	05/09/2016	Inscripto	Sociedad Anónima	201609	2016	5.0	8.024817e+06	5.0	CABA	1.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	16.0	(6.702.697- 9.424.898]	(4.0, 5.0]	(15.0, 21.0]	3
38	30707787070	Ediciones Rap s.a.	16/08/2016	Inscripto	Sociedad Anónima	201608	2016	45.0	4.983273e+06	5.0	CABA	2.0	NaN	NaN	NaN	2.0	NaN	2.0	NaN	2.0	NaN	4.0	(4.727.330- 6.702.697]	(39.0, 1214.0]	(3.0, 4.0]	3

	CUIT	Nombre	FechaPreinscripcion	Estado	TipoSocietario	periodo_preinscripcion	anio_preinscripcion	cant_procesos_adjudicado	monto_total_adjudicado	antiguedad	provincia	cant_socios	cant_apercibimientos	cant_suspensiones	cant_antecedentes	cant_Apoderado	cant_representante	cant_autenticado	cant_noAutenticado	cant_sinMontoLimite	cant_MontoLimite	total_articulos_provee	dmonto_total_adjudicado	dcant_procesos_adjudicado	dtotal_articulos_provee	Cluster_6
10026	33541350999	SOCIEDAD RURAL DE JESUS MARIA	17/11/2021	Inscripto	Otras Formas Societarias	202111	2021	1.0	2.898882e+06	0.0	Córdoba	3.0	NaN	NaN	NaN	1.0	2.0	3.0	NaN	3.0	NaN	1.0	(2.483.085- 3.396.600]	(0.999, 2.0]	(0.999, 2.0]	3
10030	30642796131	PERFIL S.R.L.	29/07/2020	Inscripto	S.R.L	202007	2020	1.0	1.037790e+06	1.0	Neuquén	7.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	25.0	(890.758- 1.302.657]	(0.999, 2.0]	(21.0, 29.0]	3
10038	30527725247	SODA DI MARCO S.R.L.	16/10/2018	Inscripto	S.R.L	201810	2018	1.0	6.557143e+04	3.0	Mendoza	3.0	NaN	NaN	NaN	2.0	NaN	2.0	NaN	2.0	NaN	3.0	(33.011- 104.767]	(0.999, 2.0]	(2.0, 3.0]	3
10040	30674562620	INAR VIAL S.A.	22/08/2022	Inscripto	Sociedad Anónima	202208	2022	2.0	7.810812e+06	0.0	Santa Fe	5.0	NaN	NaN	NaN	1.0	4.0	1.0	4.0	5.0	NaN	1.0	(6.702.697- 9.424.898]	(0.999, 2.0]	(0.999, 2.0]	3
10041	20086498295	sin datos	20/12/2021	Inscripto	Persona Física	202112	2021	1.0	6.838163e+05	0.0	La Rioja	NaN	NaN	NaN	NaN	2.0	NaN	2.0	NaN	2.0	NaN	5.0	(599.760- 890.758]	(0.999, 2.0]	(4.0, 6.0]	3
10043	30713790407	PEDRO GOITIA S.R.L.	20/03/2017	Inscripto	S.R.L	201703	2017	1.0	1.997880e+07	4.0	CABA	3.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	9.0	(19.975.532- 30.451.916]	(0.999, 2.0]	(8.0, 11.0]	3
10051	30707885595	Dirsin Corporation S.A.	23/02/2018	Desactualizado mantención	Sociedad Anónima	201802	2018	1.0	3.166163e+07	3.0	CABA	1.0	NaN	NaN	NaN	1.0	1.0	2.0	NaN	2.0	NaN	1.0	(30.451.916- 46.718.747]	(0.999, 2.0]	(0.999, 2.0]	3
10057	20414755632	sin datos	13/09/2022	Inscripto	Persona Física	202209	2022	1.0	2.145238e+06	0.0	Chubut	NaN	NaN	NaN	NaN	2.0	NaN	1.0	1.0	2.0	NaN	1.0	(1.793.326- 2.483.085]	(0.999, 2.0]	(0.999, 2.0]	3
10062	20149549987	TRANSPORTES ROBOL	07/02/2017	Desactualizado mantención	Persona Física	201702	2017	1.0	5.261905e+06	4.0	Corrientes	NaN	NaN	NaN	NaN	2.0	NaN	2.0	NaN	2.0	NaN	4.0	(4.727.330- 6.702.697]	(0.999, 2.0]	(3.0, 4.0]	3
10072	30518773743	Hotel Astor Sociedad Anonima Comercial	25/07/2022	Inscripto	Sociedad Anónima	202207	2022	1.0	1.757476e+07	0.0	CABA	2.0	NaN	NaN	NaN	1.0	1.0	1.0	1.0	2.0	NaN	6.0	(13.557.176- 19.975.532]	(0.999, 2.0]	(4.0, 6.0]	3

Overview

Variables

Most occurring characters

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Most occurring characters

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Common Values

Length

Common Values (Plot)

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Most frequent character per category

(unknown)

Most occurring scripts

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Common Values

Length

Most occurring characters

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Most occurring blocks

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Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

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(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

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Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

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Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts